I was provided this information by BlueSwordM, and I thought I'd save it here and make it public aswell.

These are all of the packages you'll need and you can install them with these commands:

sudo pacman -S rocm-opencl-runtime rocm-hip-runtime rocm-opencl-sdk rocm-hip-sdk
sudo pacman -S --needed mesa lib32-mesa vulkan-radeon lib32-vulkan-radeon vulkan-icd-loader lib32-vulkan-icd-loader vulkan-mesa-layers rocm-smi-lib rocm-clang-ocl rocm-dbgapi rocm-gdb rocm-smi-lib hip-runtime-amd rocm-core rocm-device-libs rocm-llvm rocm-opencl-runtime

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

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This comprehensive guide explains how modern crypto reward programs work, how to activate your welcome reward, and how to maximize long-term benefits through ongoing promotions and deposit incentives.

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Companion to: "How I Set Up OpenClaw Without Giving It the Keys to My Life"

sudo sysadminctl -addUser openclaw -password - -home /Users/openclaw